Analyst, Client Analytics (Remote)

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The role will report to the VP, of Data Science and is an integral part of the Client Consulting and Analytical Team. The successful candidate will have the opportunity to grow within the role and progress toward future career development objectives along a number of potential paths including a focus on deeper analyses and statistical modeling development, client relationship management, and/or marketing. This role is key to ensuring that NielsenIQ delivers products/services and solutions that meet clients needs for the tactics that increase sales and profits and in an on-time budget capacity which support client results and satisfaction and revenue through retention/growth.

Objective of role:

The Analyst, Client Analytics will develop and implement advanced analytic techniques to gain adept understanding of customer behaviors in order to help consult, and guide Fortune 100 Client Mid & Senior-Executive teams to support their core strategic business objectives. This will be accomplished through the analysts ability to synthesize complex analytics into a well structured, and communicated strategy insight for client teams. The recommendations made will support marketing strategy development, execution, merchandising/category planning, customer behavioral profiling, predictive modeling, price modeling, ad hoc strategic & tactical client requests, etc. with core focus being influencing customer strategy that will directly impact the clients 75+Million Customers.

Qualifications

• Responsibilities:
• Work to implement predictive analytical methodologies that enable more profitable product, pricing and promotion decisions in support of partner customer strategies. As well focus on customer segmentation and analytics to prioritize recommendations across retail practices.
• Support the development of incremental customer analyses and merchandising opportunities for strategic partners and clients, including leveraging emerging technologies and industry best practices.
• Interpret, document and present/communicate data-driven retail insights to multiple business disciplines, providing conclusions and recommendations based off customer-centric data.
• Manage analytical objectives from setting data requirements to structuring and executing the backend analysis and reporting.

Skill & Knowledge Requirements:

• Demonstrated curiosity initiative and passion for the application of statistical sciences to address business challenges and learning of new statistical/analytical methods.
• Ability to think outside the box, and use – “First Principles” approach to problem solving.
• Strong Interpersonal skills including written and oral communication.
• Strong Foundation in Data Mining Languages, Data Processing, Mathematics, Statistics, Data Architectures, Analytics, and Business Strategy
• Experience analyzing customer level and/or item level data
• Retail/Omni Experience – Able to understand retail/Omni environment, and how to approach retail business problems with correct analytics approach to influence strategy, and implementations.

• Demonstrated ability to ability to work in abstract data sets, and formulate structured processing techniques to ensure analytic integrity.
• Willingness to learn, and develop in areas of weakness – takes initiative to develop in areas where gaps of knowledge, experience, or technical approaches may be known.
• Task oriented – can manage workload effectively w/autonomy and achieve client deliverables.

Collaborative Relationships:

• Will Collaborate w/CVS Mid & Senior Level Leaders & IT
• Will work w/Central Analytics Team(Data Science, Technical, Deployment, Product)
• Will work w/Client Services Team
• . Will work w/CPG Team

Decision Making Authority:

Most strategic decisions will be guided by the manager. The expectation is that the person in role will grow to take proper ownership, accountability of structuring data extracts, preparing analytical tools and delivering analyses that will be further used by business partners. Translate data into actionable insights & make strategic recommendations w/Autonomy once management sees they are at appropriate level.

Requirements:

• 1-2 Years Experience in SQL
• 1-2 Years Experience in Data Processing & Arch
• 1-2 Years Experience in Azure/Teradata Environments
• 1-2 Years Experience in Python/R
• 1-2 Years Experience in MS Office Suite
• 1-2 Years Experience in Statistics
• 1-2 Years Experience in Retail/Omni Analytics
• Degree Specializations: Bachelors in Mathematics/Statistics/Engineering/Computer Science or Information Systems/Economics/Data Science

Additional Information

All your information will be kept confidential according to EEO guidelines.

About NielsenIQ

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.